Role: Senior Data Analyst ( Ontology)

Location: New York, NY

Mode: Onsite

Duration : 12+ Months

Visa Types : All Visas

Tax Term Type : W2/ C2C/ 1099

Experience : 10+ years

Job Description:
In this role, you will be responsible for Ontology Analyst to work with on developing large scale enterprise knowledge graph using semantics, and Graph technologies.

Some of Technical aspects

Building large scale enterprise knowledge graph using Semantic and Graph Technologies e.g. Graph DB / Triple Stores like Stardog, SPARQL, Ontology, RDF, OWL, SHACL, R2RML, Graph Analytics & Inferencing, Graph Visualization

Implementing Temporality / versioning in Knowledge Graph

Implementing granular user entitlements in Knowledge Graph

Building Chatbots on top of Knowledge Graphs using capabilities like natural language processing (“NLP”) and Machine Learning

Rapid Application Development methodology in Enterprise Knowledge Graph Ecosystem – ability to integrate large disparate data sets rapidly in sandbox environment to showcase potential business value and then transforming it into proper knowledge graph in production.

Working with Business Stakeholders to understand requirements and translate them into various aspects related to delivery in Knowledge Graph ecosystem – data sourcing, ontology, API, UI development etc.

Design, development and support of n-tier distributed applications including Data Ingestion or ETL layer, Big Data Analytics solutions, server-side API & components, as well as Database modeling & development.

Design, development and support of Data Ingestion Framework and pipelines (using tools like Apache NiFi, Python programming) and Big Data Analytics solutions (using platforms like Snowflake, Databricks)

Designing and implementing complex enterprise scale data & metadata architecture

Experience building solutions for metadata management, data catalogs, data governance, data quality improvements, taxonomies.

Building successful automated data lineage solutions including familiarity with relevant regulatory requirements, vendor tooling landscape, various discovery and scanning tools and technologies.

Skills Required

Enterprise Knowledge Graph (Stardog, RDF, OWL, SPARQL, Graph Inferencing / Analytics), Python / Java

Qualifications

Masters / Bachelor in Computer Science

Robust analytics experience

Must have experience of Graph knowledge DB

Preferred qualifications

Strong DB and SQL experience

Ontology exp

Graph DB knowledge exp

Good to have SParkSQL, Stardog, Python


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